The best-priced RTX Spark for your workload.
Filter the registry by form factor, unified memory, budget and primary workload. Ranking re-weights SCS / ARS / TLS based on what you pick.
Form factor
Unified memory
Budget
Workload
10 devicesSorted by Overall
Matching RTX Spark devices
NVIDIA · Mini-PC
DGX Spark Reference
OVR94
Grace-Blackwell GB10
SCS
ARS
TLS
128GB · 546 GB/s$3,999
Dell · Laptop
Precision S16 RTX Spark
OVR92
Grace-Blackwell
SCS
ARS
TLS
128GB · 546 GB/s$3,499
MSI · Desktop
Spark Titan Desktop
OVR92
Grace-Blackwell
SCS
ARS
TLS
128GB · 600 GB/s$3,899
GIGABYTE · Desktop
AI TOP Spark Tower
OVR90
Grace-Blackwell
SCS
ARS
TLS
128GB · 580 GB/s$3,699
Razer · Laptop
Blade 16 Spark Edition
OVR89
Grace-Blackwell
SCS
ARS
TLS
128GB · 512 GB/s$3,299
Lenovo · Laptop
ThinkPad P1 Spark Gen 1
OVR88
Grace-Blackwell
SCS
ARS
TLS
64GB · 480 GB/s$2,599
HP · Mini-PC
Z-Spark Mini Cluster Node
OVR86
Grace-Blackwell
SCS
ARS
TLS
64GB · 480 GB/s$1,899
Framework · Laptop
Framework Spark 13
OVR83
Grace-Blackwell
SCS
ARS
TLS
64GB · 480 GB/s$2,199
ASUS · Laptop
ZenBook 14 Spark
OVR73
Grace-Blackwell
SCS
ARS
TLS
32GB · 320 GB/s$1,599
Acer · Laptop
Aspire Spark 15
OVR69
Grace-Blackwell
SCS
ARS
TLS
32GB · 320 GB/s$1,399
How to choose an RTX Spark machine
Start with memory, not price. Unified memory decides which AI models fit, and it is soldered on every Grace-Blackwell system, so you cannot add more later. Then pick a form factor: a laptop if you need to carry it, a DGX Spark desktop if you want the most memory per dollar or plan to run agents around the clock.
| Memory | Comfortable model size | Good for |
|---|---|---|
| 32 GB | 7–14B models | Coding help, chat, light agents |
| 64 GB | Up to ~34B, or 70B tightly | Serious coding, multi-agent workflows |
| 128 GB | 70B with long context, ~120B at 4-bit | Large models, 24/7 agent hosts |
What the scores mean
- SCS — raw AI and compute capability.
- ARS — how well it hosts agents for hours: thermals, stability, battery.
- TLS — firmware update cadence, security and OEM support record.
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RTXsparks is independent and not affiliated with NVIDIA or any manufacturer. Prices are US launch prices from manufacturer announcements.